Sentence examples for image compression method from inspiring English sources

Thepade Sudeep and Ashish Devkar (2015) [25] have proposed a vector quantization (VQ -based lossy image compression method.

In this paper, a novel image compression method based on generation of the so-called classified energy and pattern blocks (CEPB) is introduced and evaluation results are presented.

A simple approach is to measure the file output size of a reversible image compression method (JPEG lossless or JPEG 2000 reversible), which should be greater for images with higher entropy.

In [21], Zhang et al. (2008) have presented an image compression method, called prediction by partial approximate matching (PPAM) method which involves four basic steps, namely, preprocessing, prediction, context modelling, and arithmetic coding.

These issues are beyond the scope of this paper, however, we refer the reader to [29] where these problems are addressed and a complete multiview image compression method is presented.

A well known image compression method i.e. block truncation coding (BTC) method is proposed in [10] for extracting two features i.e. block color co-occurrence matrix (BCCM) and block pattern histogram (BPH).

Image compression methods are computationally intensive and ideal examples for hardware implementation.

Picture archiving and communication system (PACS) vendors offer the use of different image compression methods, including reversible ("lossless") and irreversible ("lossy") compression algorithms.

Unlike traditional data and image compression methods, the goal of ASDC is to create a new dataset that will be used as input into spatial-prediction methods, such as traditional kriging or Fixed Rank Kriging, where using the full dataset may be computationally infeasible.

In a similar vein, the peak signal-to-noise ratio is commonly used to assess the quality of sound and image compression methods using the logarithm.

Though there are many image compression and High Efficiency Video Coding methods to speedup information transmission [47, 48], a shorter feature size still benefits the real-time face recognition system.